沪深300股指期货与现货市场的非线性信息溢出与价格发现功能研究

采用线性与非线性Granger因果检验、协整检验和VECM模型,研究了沪深300股指期货和现货市场的线性与非线性信息溢出,并检验了期货市场的价格发现功能发挥情况。研究结果显示:线性信息溢出方面,沪深300股指期货市场对现货市场只有线性均值信息溢出,现货市场对期货市场只存在线性方差信息溢出;非线性信息溢出方面,两个市场之间不存在非线性均值信息溢出,不过二者之间存在显著的非线性方差信息溢出;沪深300股指期、现货市场之间存在着长期均衡的关系,不过不同于成熟市场中期货市场在价格发现方面居于主导地位的结论,我国股指现货市场在价格发现方面占主导地位,而期货市场处于从属地位。     

Dual foreign currency markets and the role of expectations: Evidence from the Pacific Basin countries

This paper analyzes the role of expectations about the government policy in the official foreign currency market in determining the black market premium. We use data for the recent float from six emerging markets of the Pacific Basin where active black markets for foreign currency exist, namely, Indonesia, Korea, Malaysia, the Philippines, Singapore and Thailand. To test the impact of anticipated and unanticipated shocks to the official exchange rate on the black market premium, we employ the two-step procedure of Hoffman et al. [Hoffman, D.L., Low, S.A., Schlagenhauf, D.E., 1984. Tests of rationality, neutrality and market efficiency: a Monte Carlo analysis of alternative test statistics. J. Monet. Econ. 14, 339–363] which provides corrected F-statistics and allows us to draw valid inference in the presence of generated regressors. The main finding of our analysis is that anticipated and unanticipated shocks to the official exchange rate have an impact on the black market premium in all six Pacific Basin countries. These results suggest that portfolio balance models provide the suitable theoretical framework for analyzing the behaviour of the black market premium in the markets for foreign currency in the Pacific Basin countries. Furthermore, this implies that economic agents in these countries are sensitive to expected returns in foreign exchange.     

VOLATILITY SPILLOVERS BETWEEN THE BLACK MARKET AND OFFICIAL MARKET FOR FOREIGN CURRENCY IN GREECE

The issue of volatility spillovers between the black and official exchange markets for U.S. dollars in Greece for 1975–89 is examined. A vector error correction‐bivariate EGARCH model is developed and estimated to capture potential asymmetric effects of innovations and volatility. During the period under investigation, reciprocal spillovers are found between the black and official exchange markets for dollars. Furthermore, spillovers are asymmetric in that bad news in one market has a greater effect on the volatility of the other market than good news. Additionally, the size of spillover effects is greater from the official market to the black market. Finally, the removal of the foreign exchange controls in January 1986 made the volatility of the official exchange rate higher and changed the nature of volatility spillovers between the two markets. JEL Classification: F31, F32     

Price and volatility spillovers between exchange rates and stock indexes for the pre- and post-euro period

In this paper we explore the nature of the mean, volatility and causality transmission mechanism between stock and foreign exchange markets for the United States and some major European markets for the periods pre- and post-euro. The asymmetric volatility transmission is described by an extended Multivariate Exponential Generalized Autoregressive Conditionally Heteroskedastic (EGARCH) model. The results support the asymmetric and long-range persistence volatility spillover effect and show strong evidence of causality in the mean and variance between foreign exchange rate and stock price for both pre- and post-euro periods. However, the stock price has a more significant effect on foreign exchange rate for the two subsamples. These results are robust to the cross-correlation function test suggested by Cheung and Ng. The implication is particularly important for international portfolio managers when devising hedging and diversification strategies for their portfolios.     

Long-run dynamics of official and black-market exchange rates in Latin America

This paper attempts to investigate the long-run dynamic relationship between official and black-market exchange rates for four Latin America markets namely, Argentina, Brazil, Chile, and Mexico. We follow (Moore, M. J., & Phylaktis, K. (2000). Black and official exchange rates in the Pacific Basin: Some tests of dynamic behaviour. Applied Financial Economics, 10, 361–369.) and we distinguish between long-run informational efficiency and short-run predictability in a sense that these notions are compatible with cointegration and error-correction mechanisms (ECM). Our findings indicate a constant black-market premium for each country, which is taken as strong support for long-run informational efficiency between the official and black markets for foreign currency. In addition, the evidence of short-run predictability is not considered as a violation of market efficiency, but it is the outcome of optimal arbitrage by rational economic agents.     

Long-run dynamics of official and black-market exchange rates in Latin America

This paper attempts to investigate the long-run dynamic relationship between official and black-market exchange rates for four Latin America markets namely, Argentina, Brazil, Chile, and Mexico. We follow (Moore, M. J., & Phylaktis, K. (2000). Black and official exchange rates in the Pacific Basin: Some tests of dynamic behaviour. Applied Financial Economics, 10, 361–369.) and we distinguish between long-run informational efficiency and short-run predictability in a sense that these notions are compatible with cointegration and error-correction mechanisms (ECM). Our findings indicate a constant black-market premium for each country, which is taken as strong support for long-run informational efficiency between the official and black markets for foreign currency. In addition, the evidence of short-run predictability is not considered as a violation of market efficiency, but it is the outcome of optimal arbitrage by rational economic agents.     

An examination of causality and predictability between Australian domestic and offshore interest rates

This paper studies the causality and predictability between Australian domestic and offshore short term interest rates in both the first and second moments during the period 1987 to 1996. Causality flow is observed to be stronger from the domestic to the offshore market in the earlier sub periods but characterised by significant two-way causality flow in the latter sub-periods. Volatility tests show that the volatility in one market spills over to the other market simultaneously, which is consistent with Australian markets being well integrated with global markets. The predictability across the two markets in the first moments is examined through an error correction model, whose forecasting performance is assessed relative to a benchmark random walk model. To test the predictability of volatility, four different models are compared: A GARCH model, A GARCH model incorporating contemporaneous spillover effects, a GARCH model with lagged spillover effects, and a benchmark random walk model. Results indicate that the error correction model and the GARCH model with contemporaneous volatility spillover are the superior models for forecasting changes in interest rates and for forecasting volatility, respectively.     

Cointegration and causal relations in mortgage and capital markets

In years past, credit rationing resulted in the primary mortgage market being segmented from national capital markets. Some research suggests that the deregulation of depository institutions in the early 1980s along with the exponential growth in the secondary mortgage market, has resulted in a primary mortgage market more fully integrated with national capital markets. This study employs Granger Causality to test primary and secondary mortgage market segmentation. Our findings support the conclusion that causality is unidirectional from the treasury market to the primary and secondary mortgage market. The results also indicate that mortgage market speed of adjustment increased significantly by the end of the decade.     

Uncovering the time-varying relationship between commonality in liquidity and volatility

This study examines the dynamic linkages between commonality in liquidity in international stock markets and market volatility. Using a recently proposed liquidity measure as input in a variance decomposition exercise, we show that innovations to liquidity in most markets are induced predominately by inter-market innovations. We also find that commonality in liquidity peaks immediately after large market downturns, coinciding with periods of crisis. The results from a dynamic Granger causality test indicate that the relationship between commonality in liquidity and market volatility is bi-directional and time-varying. We show that while volatility Granger-causes commonality in liquidity throughout the entire sample period, market volatility is enhanced by commonality in liquidity only in sub-periods. Our results are helpful for practitioners and policy makers.     

Dynamic linkages between the center and periphery in international stock markets

This paper examines the dynamic linkages between the equity market of US representing the center and emerging markets using the Granger-causality test. The findings show that causality runs from the S&P500 to the stock prices of the 15 emerging markets but not vice versa.     

Causal relationship between spot and futures prices with multiple time horizons: A nonparametric wavelet Granger causality test

This study investigates the causal information flow between 45 major daily spot returns and their corresponding futures in developing, emerging, and commodity indices through a novel nonparametric wavelet Granger causality test (NWGC) that is capable of detecting causality patterns in various time scales without any stationarity assumption or multivariate autoregressive modeling requirement. We provide new evidence for a complex causality pattern phenomenon. First, there may not be just one dichotomous answer about the Granger causality test for each market data in a time domain, as markets exhibit different causal information flows for different time scales. Second, each market may show distinct causality patterns compared to other markets.     

石油市场与黄金市场收益率波动溢出效应研究

在总结国内外相关研究的基础上,基于2002年12月2日到2010年9月30日的日数据,建立相应的ARCH族模型,并进行Granger因果关系检验,本文对石油市场和黄金市场收益的波动性、波动的非对称性及其波动溢出效应进行实证分析。结果表明:两市均具有显著的方差时变性及新信息对波动冲击的持续性;GARCH(1,1)模型能够很好地消除其ARCH效应;两市均存在明显的非对称性,即石油市场中利空消息引起的波动比同等利好消息引起的波动要大,而黄金市场相反;两市只存在从石油市场到黄金市场的单向波动溢出效应。研究结果对该领域投资者的相关投资及决策人的决策制定具有重要的参考价值。     

How world uncertainties and global pandemics destabilized food,energy and stock markets? Fresh evidence from quantile on quantile regressions

In this study, we analyse the impact of world uncertainty, global pandemics, including the recent COVID-19, and geopolitical risk on global food, energy commodities, and stock markets from a global perspective. The study uses quantile on quantile regression (QQR) and a quantile causality test using quarterly data from 1996Q1 to 2020Q1. Overall, the study results indicate heterogeneity in the influence of the world uncertainty index, global pandemic index, and geopolitical risk on the global food, energy, and stock markets. However, our findings predominantly show a negative impact of world uncertainty, and global pandemic on global food, energy commodities, and stock markets with substantial variations across markets (food, energy, and stock) and quantiles within each market. For robustness, this study applied the geopolitical risk and found the similar impact on food, energy and stock markets. Additionally, the quantile causality test confirms unidirectional causality running from world uncertainty, global pandemic uncertainty, and geopolitical risk to world food, energy, and stock markets. Our findings give a clear guideline to policymakers and investors managing food, energy, and equity markets during uncertainty and pandemic periods.     

The Causal Relationship Between Real Estate and Stock Markets

This paper examines the dynamic relationship that exists between the US real estate and S&P 500 stock markets between the years of 1972 to 1998. This is achieved by conducting both linear and nonlinear causality tests. The results from these tests provide a number of interesting observations which primarily show linear relationships to be spuriously affected by structural shifts which are inherent within the data. Linear test results generally show a uni-directional relationship to exist from the real estate market to the stock market. However, these results are not consistent with financial theory and for all sub-samples of the data. In contrast, the nonlinear causality test shows a strong unidirectional relationship running from the stock market to the real estate market, and is consistent in the presence of any structural breaks.     

Purchasing Power Parity and Efficiency of Black Market Exchange Rate in African Countries

This paper investigates the long-run dynamics of black and official exchange rates for ten African countries. Our major findings are, first, that parity holds more favorably when the black market rate is used to validate the purchasing power parity hypothesis. The evidence supports the notion that the speed of adjustment is much faster in the black market than in the official market. Second, the two rates are connected in the long run, with the official rate adjusting toward the black market rate for the majority of cases. Finally, we find the long-run informationally efficient hypothesis is supported in the majority of African countries.     

U.S. leveraged loan and debt markets: Implications for optimal portfolio and hedging

This paper offers fresh empirical evidence on the relationship between leverage loans and US debt markets by investigating the distributional predictability and directional predictability between leveraged loans and treasury bonds, fixed income securities and corporate bonds in the U.S economy. We use daily price data from January 2013 to April 2021. First, we analyze the causal relationship between variables by applying non-parametric causality-in-quantiles test and find that quantile causality in variance shows the stronger impact of leverage loan market returns on US debt market returns over the entire quantile range. Second, quantile dependence and directional predictability between leverage loan market and US debt markets are analyzed by applying cross-quantilogram approach and estimated results show the heterogeneous quantile relations from leverage loan market to US debt market. Moreover, the cross-quantile correlation results demonstrate the evidence of negative predictability from leverage loan market to US debt market in low, medium and high quantile range. These evidences are important for US investors and portfolio managers.     

Informed traders and their market preference: Empirical evidence from prices and volumes of options and stock

The causal structure of price and volume in options and stock markets is examined to investigate whether a preferred market for informed trading exists. The possible trade-off of leverage on one hand and liquidity and transactions costs on the other, and the effect of different market mechanisms, are discussed in this context.We test for cointegration and use the vector error correction (VEC) approach if we find it. Otherwise, causality tests are via the conventional vector autoregression (VAR). We find that volume leads price in both markets, but that option volume leads stock volume, and stock price leads option price. These results differ from previous studies. Potential explanations are discussed.     

Forecasting European stock volatility: The role of the UK

This study investigates the lead–lag relationships of volatility among European stock markets. Using weakly realized variance measures, we examine volatility spillover dynamics between the UK and other major stock markets in Europe, thereby identifying a long-run leading role for the UK market portfolio. Lagged UK volatility can significantly predict volatilities in non-UK countries, whereas lagged non-UK volatility has a limited association with UK volatility. Moreover, pairwise Granger causality estimations, predictive regression specifications, and out-of-sample validations reveal that volatility shocks in the UK are gradually reflected in market fluctuations across Europe with varying market-specific delays. Our findings support the limited attention explanation for the volatility predictability of the lagged UK equity index.     

Is the UAE stock market integrated with the USA stock market? New evidence from asymmetric causality testing

The integration and development of financial markets is an important issue because it can result in economic growth via increasing exchange and more efficient allocation of scarce resources. It is also important for defining and conducting appropriate policies to counteract adverse spill-over effects across markets. The main goal of this paper is to assess the degree of integration or segmentation of the UAE stock market with the USA market by conducting new causality tests developed by Hatemi-J (forthcoming) that separate the effect of positive shocks from the negative ones. The empirical results based on standard symmetric causality tests indicate that the UAE market is segmented from the USA market. However, when the asymmetric causality tests are implemented the results reveal clearly that the UAE market is indeed integrated with the USA market. These results show, in addition, that the degree of integration is stronger when the markets are falling than rising.     

Random walk and monetary causality in five exchange markets

Time series behavior of monthly spot exchange rates for the French franc, the Deutsche mark, the Italian lira, the Japanese yen, and the UK pound, all priced in relation to the US dollar, shows the robustness of the random walk hypothesis. Incremental efficiency is investigated by a new test procedure, based on the reduction of the forecast error variance, which is a direct implementation of the definition of Granger causality. Exchange markets are found to be not only money efficient, but also monetary efficient in that they are efficient with respect to real income and market interest rates in addition to money stock.